Prediction of Poor Outcome After Transcatheter Aortic Valve Replacement.
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ABSTRACT: A series of models have been developed to identify patients at high risk for poor outcomes after transcatheter aortic valve replacement (TAVR) to help guide treatment choices, offer patients realistic expectations of long-term outcomes, and support decision making.This study examined the performance of the previously developed TAVR Poor Outcome risk models in an external dataset and explored the incremental contribution of geriatric domains to model performance.Poor outcome after TAVR was defined as death, poor quality of life (QOL), or decline in QOL, as assessed using the Kansas City Cardiomyopathy Questionnaire. We tested 4 TAVR Poor Outcome risk models: 6-month and 1-year full and clinical (reduced) models. We examined each model's discrimination and calibration in the CoreValve trial dataset, and then tested the incremental contribution of frailty and disability markers to the model's discrimination using the incremental discrimination index.Among 2,830 patients who underwent TAVR in the CoreValve US Pivotal Extreme and High Risk trials and associated continued access registries, 31.2% experienced a poor outcome at 6 months following TAVR (death, 17.6%; very poor QOL, 11.6%; QOL decline, 2.0%) and 50.8% experienced a poor outcome at 1 year (death, 30.2%; poor QOL, 19.6%; QOL, decline 1.0%). The models demonstrated similar discrimination as in the Placement of Aortic Transcatheter Valves Trial cohorts (c-indexes, 0.637 to 0.665) and excellent calibration. Adding frailty as a syndrome increased the c-indexes by 0.000 to 0.004 (incremental discrimination index, p < 0.01 for all except the 1-year clinical model), with the most important individual components being disability and unintentional weight loss.Although discrimination of the TAVR Poor Outcome risk models was generally moderate, calibration was excellent among patients with different risk profiles and treated with a different TAVR device. These findings demonstrated the value of these models for individualizing outcome predictions in high-risk patients undergoing TAVR.
Journal of the American College of Cardiology 20161001 17
<h4>Background</h4>A series of models have been developed to identify patients at high risk for poor outcomes after transcatheter aortic valve replacement (TAVR) to help guide treatment choices, offer patients realistic expectations of long-term outcomes, and support decision making.<h4>Objectives</h4>This study examined the performance of the previously developed TAVR Poor Outcome risk models in an external dataset and explored the incremental contribution of geriatric domains to model performa ...[more]
Project description:Transcatheter aortic valve replacement (TAVR) is a less invasive option for treatment of high-risk patients with severe aortic stenosis. We sought to identify patients at high risk for poor outcome after TAVR using a novel definition of outcome that integrates quality of life with mortality.Among 2137 patients who underwent TAVR in the PARTNER (Placement of Aortic Transcatheter Valve) trial or its associated continued access registry, quality of life was assessed with the Kansas City Cardiomyopathy Questionnaire-Overall Summary Scale (KCCQ-OS; range 0-100, where a higher score equates to a better quality of life) at baseline and at 1, 6, and 12 months after TAVR. A poor 6-month outcome (defined as death, KCCQ-OS score <45, or ?10-point decrease in KCCQ-OS score compared with baseline) occurred in 704 patients (33%). Using a split-sample design, we developed a multivariable model to identify a parsimonious set of covariates to identify patients at high risk for poor outcome. The model demonstrated moderate discrimination (c-index=0.66) and good calibration with the observed data, performed similarly in the separate validation cohort (c-index=0.64), and identified 211 patients (10% of the population) with a ?50% likelihood of a poor outcome after TAVR. A second model that explored predictors of poor outcome at 1 year identified 1102 patients (52%) with ?50% likelihood and 178 (8%) with ?70% likelihood of a poor 1-year outcome after TAVR.Using a large, multicenter cohort, we have developed and validated predictive models that can identify patients at high risk for a poor outcome after TAVR. Although model discrimination was moderate, these models may help guide treatment choices and offer patients realistic expectations of outcomes based on their presenting characteristics.http://www.clinicaltrials.gov. Unique identifier: NCT00530894.
Project description:Transcatheter aortic valve replacement (TAVR) initially emerged as a therapeutic option for high-risk patients with severe aortic stenosis. Advancement in technologies since the first era of TAVRs, experience from previous obstacles, and lessons learned from complications have allowed the evolution of this procedure to the current state. This review focuses on the updates on the most current devices, complications, and outcomes of TAVR.
Project description:BackgroundEthnic minorities may face disparities in access to health care and clinical outcomes. Transcatheter aortic valve replacement (TAVR) has an established role in treatment of patients with severe symptomatic aortic stenosis, however outcome of these procedures among different demographics within the multi-ethnic Israeli society is unknown. We sought to compare mortality following TAVR between Jewish and Arab patients in Israel.MethodsA prospective single-center TAVR registry in northern Israel was analyzed. We compared post-procedural survival among Arab and Jewish patients who underwent TAVR, presenting the estimated hazard ratio (HR) using Cox regression.ResultsOf 923 subjects who underwent TAVR between 2010-2021, 172 (19%) were Arab and 751 (81%) were Jewish. The Arab patient population was younger (mean 77 vs. 81 years, P<0.001), had lower prevalence of coronary artery disease (34%, vs. 43%, P=0.02), hypertension (80% vs. 88%, P<0.01) and calculated procedural mortality (EuroScore II: mean 4.6 vs. 4.9, P=0.02), and higher percentage of females (65% vs. 53%, P=0.01), body mass index (mean 30 vs. 28, P<0.001) and creatinine clearance (mean 67 vs. 59 mL/min, P<0.001). Arab patients had similar post-procedural mortality compared to Jewish patients [7-day mortality: adjusted HR 1.51, 95% confidence interval (CI): 0.39-5.77, P=0.55; 30-day mortality: adjusted HR 1.79, 95% CI: 0.62-5.18, P=0.29; 1-year mortality: adjusted HR 1.24, 95% CI: 0.72-2.12, P=0.43].ConclusionsArab patients undergoing TAVR were younger and had lower predicted mortality than Jewish counterparts, however, these characteristics did not translate into improved post-procedural survival.
Project description:Bicuspid aortic insufficiency (BAI) patients with root aneurysm often require aortic valve and root replacement in a composite procedure. The valve-sparing root replacement (VSARR) procedure is aimed at preserving the native valve when possible. This case highlights a successful transcatheter aortic valve replacement procedure in a BAI patient previously treated with VSARR. (Level of Difficulty: Intermediate.).
Project description:AbstractTranscatheter aortic valve replacement (TAVR) is a standard treatment indicated for severe aortic stenosis in high-risk patients. The objective of this study was to evaluate the incidence of pacemaker dependency after permanent pacemaker implantation (PPI) following TAVR or surgical aortic valve replacement (SAVR) and the risk of mortality at a tertiary center in Korea.In this retrospective study conducted at a single tertiary center, clinical outcomes related to pacemaker dependency were evaluated for patients implanted with pacemakers after TAVR from January 2012 to November 2018 and post-SAVR from January 2005 to May 2015. Investigators reviewed patients' electrocardiograms and baseline rhythms as well as conduction abnormalities. Pacemaker dependency was defined as a ventricular pacing rate > 90% with an intrinsic rate of <40 bpm during interrogation.Of 511 patients who underwent TAVR for severe AS, 37(7.3%) underwent PPI after a median duration of 6 (3-7) days, whereas pacemakers were implanted after a median interval of 13 (8-28) days post-SAVR in 10 of 663 patients (P < .001). Pacemaker dependency was observed in 36 (97.3%) patients during 7 days immediately post-TAVR and in 25 (64.9%) patients between 8 and 180 days post-TAVR. Pacemaker dependency occurred after 180 days in 17 (50%) patients with TAVR and in 4 (44.4%) patients with SAVR. Twelve (41.4%) patients were pacemaker-dependent after 365 days post-TAVR.Pacemaker dependency did not differ at 6 months after TAVR vs SAVR. In patients undergoing post-TAVR PPI, 58.6% were not pacemaker-dependent at 1 year after the TAVR procedure.
Project description:Transcatheter aortic valve replacement (TAVR) is a minimally invasive approach to treat symptomatic severe aortic stenosis. The patient populations that have been shown to benefit from this procedure continue to grow with time. Techniques and technology in TAVR persistently advance with a continued trend toward improved outcomes for patients. In this review, we highlight the advances in vascular access, TAVR valve design, progress in reducing procedural complications, and emerging evidence in the field.
Project description:Evidence in transcatheter aortic valve replacement (TAVR) has accumulated rapidly over the last few years and its application to clinical decision making are becoming more important. In this review, we discuss the advances in TAVR for patient selection, expanding indications, complications, and emerging technologies.
Project description:Rapid ventricular pacing (RVP) is used commonly during transcatheter aortic valve replacement (TAVR). Little is known about the safety and clinical consequences of this step. The aim of this study was to assess the impact of RVP on immediate and long-term clinical outcomes in a large cohort of non-selected TAVR patients. The study included 412 consecutive patients undergoing TAVR with a mean age of 82±7 years, of which 47% were male. Patients were divided according to the number of RVPs during the TAVR procedure comparing patients undergoing no pacing (0), 1 to 2, and ≥3 pacing episodes (3+). Patients undergoing 3+ pacing episodes were significantly more likely to develop new atrial fibrillation (5.6% versus 7.3% versus 15%, respectively, for 0, 1-2, and 3+ groups, P=0.047), acute kidney injury (AKI) (18% versus 18% versus 28%, respectively, P<0.001), prolonged procedural hypotension (0%, 16%, and 25%, respectively; P<0.001), and suffered greater in-hospital mortality (1.7%, 1.7%, and 6.5%, respectively, P=0.045), and 1-year mortality (11.1%, 7.7%, and 18%, respectively, P=0.015). Multivariate Cox regression analysis indicated that acute kidney injury (OR 3.27 [1.763-6.09], P<0.001), euroSCORE II (OR 1.06 per unit [1.01-1.12], P=0.03), and 3+ pacing episodes (OR 2.35 [1.18-4.7], P=0.02) were the only independent predictors for 1-year mortality. In patients undergoing TAVR, multiple RVP episodes and prolonged RVP duration are associated with adverse outcomes including short- and long-term mortality. Thus, operators should attempt to minimize the use of RVP, especially in patients who are at risk for post-procedural acute kidney injury.
Project description:To analyse the impact of postprocedural mitral regurgitation (MR), in an interaction with aortic regurgitation (AR), on mortality following transcatheter aortic valve implantation (TAVI).To assess the interaction between MR and AR, we compared the survival rate of patients (i) without both significant MR and AR versus (ii) those with either significant MR or significant AR versus (iii) with significant MR and AR, all postprocedure. 381 participants of the Polish Transcatheter Aortic Valve Implantation Registry (166 males (43.6%) and 215 females (56.4%), age 78.8±7.4 years) were analysed. Follow-up was 94.1±96.5 days.In-hospital and midterm mortality were 6.6% and 10.2%, respectively. Significant MR and AR were present in 16% and 8.1% patients, including 3.1% patients with both significant MR and AR. Patients with significant versus insignificant AR differed with respect to mortality (log rank p=0.009). This difference was not apparent in a subgroup of patients without significant MR (log rank p=0.80). In a subgroup of patients without significant AR, there were no significant differences in mortality between individuals with versus without significant MR (log rank p=0.44). Significant MR and AR had a significant impact on mortality only when associated with each other (log rank p<0.0001). At multivariate Cox regression modelling concomitant significant MR and AR were independently associated with mortality (OR 3.2, 95% CI 1.54 to 5.71, p=0.002).Significant MR or AR postprocedure, when isolated, had no impact on survival. Combined MR and AR had a significant impact on a patient's prognosis.